Computer Scientist Jobs in USA with Visa Sponsorship
Computer scientists have strong H-1B visa sponsorship prospects due to the specialized nature of their work and high employer demand. Most positions qualify as specialty occupations requiring computer science, mathematics, or related technical degrees. Research roles at universities may also qualify for cap-exempt H-1B filings. For detailed occupation requirements, see the O*NET profile.
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The Opportunity
Adobe empowers everyone, everywhere to imagine, create, and bring any digital experience to life. The Horizon Platform team enables the foundation for Adobe’s web-based creative applications. Our mission is to enable Adobe engineers to build high-performance, scalable, AI-powered experiences — faster and with greater confidence. The Developer Experience (DevX) team treats developers as our customers. We focus on engineering productivity, intelligent tooling, platform reliability, and frictionless workflows. We believe the best products are built when engineers can move quickly, safely, and creatively. We are looking for a Senior Software Engineer who is passionate about building AI-enabled development systems, modern web infrastructure, and high-performance tooling that empowers thousands of engineers across Adobe. If you are excited about combining AI, platform engineering, and developer productivity at scale — we’d love to talk.
What You’ll Do
- Build and evolve the platform foundation for Adobe web applications
- Design intelligent developer tooling and workflows that leverage automation and AI to improve productivity, code quality, and velocity.
- Improve build systems, CI/CD pipelines, monorepo strategy, and test automation frameworks to support large-scale engineering teams.
- Partner with product engineering teams to deeply understand their workflows and remove friction.
- Develop high-performance, reliable, well-tested, and well-documented platform code.
- Introduce automation and AI-assisted development capabilities that enhance code generation, testing, debugging, and performance optimization.
- Proactively identify productivity bottlenecks and lead initiatives that measurably improve engineering velocity and platform reliability.
- Mentor engineers and elevate engineering standards across the organization.
- Foster an inclusive, collaborative environment that values diverse perspectives and continuous learning.
What You’ll Bring
- Bachelor’s degree in Computer Science or equivalent practical experience.
- 10+ years of software engineering experience.
- Deep understanding of data structures, algorithms, and systems design.
- Strong experience building scalable web platforms or developer tooling.
- Practical use of AI within the Software Development Lifecycle
- Expertise in performance optimization, debugging, and reliability engineering.
- Experience designing or improving CI/CD systems, monorepos, build tooling, or test automation frameworks.
- Familiarity with core AI fundamentals, including machine learning concepts, LLM capabilities and limitations, and practical considerations for integrating AI into production systems
- Strong ability to work across distributed teams and influence without authority.
- Excellent written and verbal communication skills.
Preferred Qualifications
- Experience building or integrating AI-powered systems that augment the software development lifecycle — including intelligent code review, code generation, automated testing, debugging assistants, static analysis, or refactoring agents.
- Familiarity with Agentic AI LLM systems, RAG architectures, vector databases, and contextual memory systems.
- Experience with C++, TypeScript, JavaScript, or Python.
- Experience with large-scale monorepo environments.
- Familiarity with modern web test automation frameworks.
- Experience improving engineering productivity at scale (metrics-driven DevEx initiatives).
What Sets You Apart
- You are curious about how AI and agentic systems can transform the way software is built and are excited to experiment responsibly with intelligent tooling that augments developer productivity.
- You operate at both the code level and the architecture level.
- You treat developers as customers and measure success through productivity gains.
- You proactively identify problems and drive them to completion.
- You raise the engineering bar while uplifting the people around you.
- You are curious about AI’s role in transforming how software is built.
Why Join Us
You will help define how AI and intelligent tooling reshape the way Adobe engineers build creative software. Your work will directly impact the velocity, reliability, and innovation capacity of Creative Cloud’s web platform. This role is based in San Jose (Bay Area). Remote candidates will be considered for the right fit.
About Adobe
Adobe empowers everyone to create through innovative platforms and tools that unleash creativity, productivity and personalized customer experiences. Adobe’s industry-leading offerings including Adobe Acrobat Studio, Adobe Express, Adobe Firefly, Creative Cloud, Adobe Experience Platform, Adobe Experience Manager, and GenStudio enable people and businesses to turn ideas into impact, powered by AI and driven by human ingenuity. Our 30,000+ employees worldwide are creating the future and raising the bar as we drive the next decade of growth. We’re on a mission to hire the very best and believe in creating a company culture where all employees are empowered to make an impact. At Adobe, we believe that great ideas can come from anywhere in the organization. The next big idea could be yours.
At Adobe, we believe in creating a company culture where all employees are empowered to make an impact. Learn more about Adobe life, including our values and culture, focus on people, purpose and community, Adobe for All, comprehensive benefits programs, the stories we tell, the customers we serve, and how you can help us advance our mission of empowering everyone to create. Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other protected characteristic. Learn more. Adobe aims to make our Careers website and recruiting process accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call +1 408-536-3015.
AI Use Guidelines for Interviews:
Our interviews are designed to reflect your own skills and thinking. The use of AI or recording tools during live interviews is not permitted unless explicitly invited by the interviewer or approved in advance as part of a reasonable accommodation. If these tools are used inappropriately or in a way that misrepresents your work, your application may not move forward in the process. At Adobe, we empower employees to innovate with AI — and we look for candidates eager to do the same. As part of the hiring experience, we provide clear guidance on where AI is encouraged during the process and where it’s restricted during live interviews. See how we think about AI in the hiring experience.
Expected Pay Range:
Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $159,200 -- $301,600 annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process. In California, the pay range for this position is $208,300 - $301,600. At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP). In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award.
State-Specific Notices:
California: Fair Chance Ordinances Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances.
Colorado: Application Window Notice If this role is open to hiring in Colorado (as listed on the job posting), the application window will remain open until at least the date and time stated above in Pacific Time, in compliance with Colorado pay transparency regulations. If this role does not have Colorado listed as a hiring location, no specific application window applies, and the posting may close at any time based on hiring needs.
Massachusetts: Massachusetts Legal Notice It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

The Opportunity
Adobe empowers everyone, everywhere to imagine, create, and bring any digital experience to life. The Horizon Platform team enables the foundation for Adobe’s web-based creative applications. Our mission is to enable Adobe engineers to build high-performance, scalable, AI-powered experiences — faster and with greater confidence. The Developer Experience (DevX) team treats developers as our customers. We focus on engineering productivity, intelligent tooling, platform reliability, and frictionless workflows. We believe the best products are built when engineers can move quickly, safely, and creatively. We are looking for a Senior Software Engineer who is passionate about building AI-enabled development systems, modern web infrastructure, and high-performance tooling that empowers thousands of engineers across Adobe. If you are excited about combining AI, platform engineering, and developer productivity at scale — we’d love to talk.
What You’ll Do
- Build and evolve the platform foundation for Adobe web applications
- Design intelligent developer tooling and workflows that leverage automation and AI to improve productivity, code quality, and velocity.
- Improve build systems, CI/CD pipelines, monorepo strategy, and test automation frameworks to support large-scale engineering teams.
- Partner with product engineering teams to deeply understand their workflows and remove friction.
- Develop high-performance, reliable, well-tested, and well-documented platform code.
- Introduce automation and AI-assisted development capabilities that enhance code generation, testing, debugging, and performance optimization.
- Proactively identify productivity bottlenecks and lead initiatives that measurably improve engineering velocity and platform reliability.
- Mentor engineers and elevate engineering standards across the organization.
- Foster an inclusive, collaborative environment that values diverse perspectives and continuous learning.
What You’ll Bring
- Bachelor’s degree in Computer Science or equivalent practical experience.
- 10+ years of software engineering experience.
- Deep understanding of data structures, algorithms, and systems design.
- Strong experience building scalable web platforms or developer tooling.
- Practical use of AI within the Software Development Lifecycle
- Expertise in performance optimization, debugging, and reliability engineering.
- Experience designing or improving CI/CD systems, monorepos, build tooling, or test automation frameworks.
- Familiarity with core AI fundamentals, including machine learning concepts, LLM capabilities and limitations, and practical considerations for integrating AI into production systems
- Strong ability to work across distributed teams and influence without authority.
- Excellent written and verbal communication skills.
Preferred Qualifications
- Experience building or integrating AI-powered systems that augment the software development lifecycle — including intelligent code review, code generation, automated testing, debugging assistants, static analysis, or refactoring agents.
- Familiarity with Agentic AI LLM systems, RAG architectures, vector databases, and contextual memory systems.
- Experience with C++, TypeScript, JavaScript, or Python.
- Experience with large-scale monorepo environments.
- Familiarity with modern web test automation frameworks.
- Experience improving engineering productivity at scale (metrics-driven DevEx initiatives).
What Sets You Apart
- You are curious about how AI and agentic systems can transform the way software is built and are excited to experiment responsibly with intelligent tooling that augments developer productivity.
- You operate at both the code level and the architecture level.
- You treat developers as customers and measure success through productivity gains.
- You proactively identify problems and drive them to completion.
- You raise the engineering bar while uplifting the people around you.
- You are curious about AI’s role in transforming how software is built.
Why Join Us
You will help define how AI and intelligent tooling reshape the way Adobe engineers build creative software. Your work will directly impact the velocity, reliability, and innovation capacity of Creative Cloud’s web platform. This role is based in San Jose (Bay Area). Remote candidates will be considered for the right fit.
About Adobe
Adobe empowers everyone to create through innovative platforms and tools that unleash creativity, productivity and personalized customer experiences. Adobe’s industry-leading offerings including Adobe Acrobat Studio, Adobe Express, Adobe Firefly, Creative Cloud, Adobe Experience Platform, Adobe Experience Manager, and GenStudio enable people and businesses to turn ideas into impact, powered by AI and driven by human ingenuity. Our 30,000+ employees worldwide are creating the future and raising the bar as we drive the next decade of growth. We’re on a mission to hire the very best and believe in creating a company culture where all employees are empowered to make an impact. At Adobe, we believe that great ideas can come from anywhere in the organization. The next big idea could be yours.
At Adobe, we believe in creating a company culture where all employees are empowered to make an impact. Learn more about Adobe life, including our values and culture, focus on people, purpose and community, Adobe for All, comprehensive benefits programs, the stories we tell, the customers we serve, and how you can help us advance our mission of empowering everyone to create. Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other protected characteristic. Learn more. Adobe aims to make our Careers website and recruiting process accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call +1 408-536-3015.
AI Use Guidelines for Interviews:
Our interviews are designed to reflect your own skills and thinking. The use of AI or recording tools during live interviews is not permitted unless explicitly invited by the interviewer or approved in advance as part of a reasonable accommodation. If these tools are used inappropriately or in a way that misrepresents your work, your application may not move forward in the process. At Adobe, we empower employees to innovate with AI — and we look for candidates eager to do the same. As part of the hiring experience, we provide clear guidance on where AI is encouraged during the process and where it’s restricted during live interviews. See how we think about AI in the hiring experience.
Expected Pay Range:
Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $159,200 -- $301,600 annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process. In California, the pay range for this position is $208,300 - $301,600. At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP). In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award.
State-Specific Notices:
California: Fair Chance Ordinances Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances.
Colorado: Application Window Notice If this role is open to hiring in Colorado (as listed on the job posting), the application window will remain open until at least the date and time stated above in Pacific Time, in compliance with Colorado pay transparency regulations. If this role does not have Colorado listed as a hiring location, no specific application window applies, and the posting may close at any time based on hiring needs.
Massachusetts: Massachusetts Legal Notice It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
How to Get Visa Sponsorship as a Computer Scientist
Target research-heavy roles for cap exemption
University research positions and certain government contractors can file cap-exempt H-1B petitions, avoiding the lottery entirely. Look for roles involving algorithm research, AI development, or computational modeling at academic institutions.
Emphasize specialized technical skills
Highlight expertise in machine learning, quantum computing, cybersecurity, or other advanced areas. Employers need to demonstrate your role requires specialized knowledge beyond general programming to strengthen the H-1B petition.
Consider EB-1A for exceptional researchers
Computer scientists with published research, conference presentations, or significant industry recognition may qualify for the EB-1A extraordinary ability category, bypassing labor certification requirements for permanent residence.
Document your degree's relevance carefully
USCIS scrutinizes computer science roles closely. Ensure your degree directly relates to the position duties. Mathematics, electrical engineering, or physics degrees may require additional documentation showing field relevance.
Explore O-1 for leading researchers
Computer scientists with extraordinary achievements in AI, cybersecurity, or computational research may qualify for O-1 visas. This requires sustained national recognition and evidence of leading contributions to the field.
Leverage startup visa pathways strategically
Tech startups often sponsor computer scientists. Consider companies that have successfully sponsored before, as they understand the process better and have established relationships with immigration attorneys.
Computer Scientist jobs are hiring across the US. Find yours.
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Get Access To All JobsFrequently Asked Questions
Do computer science jobs qualify for H-1B sponsorship?
Yes, most computer scientist positions qualify as specialty occupations requiring a bachelor's degree in computer science, mathematics, engineering, or a related technical field. Roles involving algorithm development, research, systems architecture, and advanced computational work typically meet H-1B requirements. The key is demonstrating the position requires specialized knowledge beyond basic programming.
What degree do I need for computer scientist visa sponsorship?
A bachelor's degree in computer science, mathematics, electrical engineering, physics, or related technical fields typically qualifies. Some employers may accept equivalent experience using the three-to-one rule where three years of relevant work experience substitutes for one year of education. Advanced degrees in AI, machine learning, or cybersecurity strengthen applications significantly.
Are computer scientist H-1B applications more likely to be approved?
Computer science roles generally have favorable approval rates due to clear specialty occupation requirements. However, USCIS scrutinizes applications more closely now, particularly for entry-level positions. Research roles, senior positions, and specialized areas like quantum computing or advanced AI typically face less scrutiny than general software development positions.
Can I get sponsored as a computer scientist without a computer science degree?
Yes, but it requires careful documentation. Mathematics, physics, electrical engineering, or other STEM degrees can qualify if you demonstrate the degree's relevance to computer science work. Some employers accept equivalent experience, though this requires detailed documentation of progressive responsibility and specialized knowledge gained through work experience rather than education.
Do research computer scientist positions avoid the H-1B lottery?
Yes, computer scientists at universities, university-affiliated research institutes, and certain government contractors may qualify for cap-exempt H-1B filings that bypass the lottery entirely. The role must involve research as a primary function, not just development work. Some private research labs also qualify depending on their nonprofit status.
What is the prevailing wage requirement for sponsored Computer Scientist jobs?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.
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